Smart CEI Moncloa: An IoT-based Platform for People Flow and Environmental Monitoring on a Smart University Campus

被引：59

作者：

Alvarez-Campana, Manuel ^{[1
]}

Lopez, Gregorio ^{[1
]}

Vazquez, Enrique ^{[1
]}

Villagra, Victor A. ^{[1
]}

Berrocal, Julio ^{[1
]}

机构：

[1] Univ Politecn Madrid, Dept Ingn Sistemas Telemat, Ave Complutense 30, E-28040 Madrid, Spain

来源：

SENSORS | 2017年 / 17卷 / 12期

关键词：

Arduino; environmental monitoring; IoT; MQTT; people flow monitoring; Raspberry Pi; sensor networks; smart cities; visual analytics; Wi-Fi; INTERNET; THINGS;

D O I：

10.3390/s17122856

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Internet of Things platforms for Smart Cities are technologically complex and deploying them at large scale involves high costs and risks. Therefore, pilot schemes that allow validating proof of concepts, experimenting with different technologies and services, and fine-tuning them before migrating them to actual scenarios, are especially important in this context. The IoT platform deployed across the engineering schools of the Universidad Politecnica de Madrid in the Moncloa Campus of International Excellence represents a good example of a test bench for experimentation with Smart City services. This paper presents the main features of this platform, putting special emphasis on the technological challenges faced and on the solutions adopted, as well as on the functionality, services and potential that the platform offers.

引用

页数：24

共 34 条

[1] Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications [J].

Al-Fuqaha, Ala ;

Guizani, Mohsen ;

Mohammadi, Mehdi ;

Aledhari, Mohammed ;

Ayyash, Moussa .

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2347-2376

[2]

Alessandrini A, 2017, 2017 EUROPEAN NAVIGATION CONFERENCE (ENC 2017), P322, DOI 10.1109/EURONAV.2017.7954224

[3] The Internet of Things: A survey [J].

Atzori, Luigi ;

Iera, Antonio ;

Morabito, Giacomo .

COMPUTER NETWORKS, 2010, 54 (15) :2787-2805

[4] A Low-Cost Sensing System for Cooperative Air Quality Monitoring in Urban Areas [J].

Brienza, Simone ;

Galli, Andrea ;

Anastasi, Giuseppe ;

Bruschi, Paolo .

SENSORS, 2015, 15 (06) :12242-12259

[5] Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates? [J].

Castell, Nuria ;

Dauge, Franck R. ;

Schneider, Philipp ;

Vogt, Matthias ;

Lerner, Uri ;

Fishbain, Barak ;

Broday, David ;

Bartonova, Alena .

ENVIRONMENT INTERNATIONAL, 2017, 99 :293-302

[6] Data Mining for the Internet of Things: Literature Review and Challenges [J].

Chen, Feng ;

Deng, Pan ;

Wan, Jiafu ;

Zhang, Daqiang ;

Vasilakos, Athanasios V. ;

Rong, Xiaohui .

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,

[7]

Dohler M., 2012, IEEE GLOBAL TELECOMM

[8] Crowd Monitoring Critical Situations Prevention Using Smartphones and Group Detection [J].

El Mallah, Joseph ;

Carrino, Francesco ;

Abou Khaled, Omar ;

Mugellini, Elena .

DISTRIBUTED, AMBIENT, AND PERVASIVE INTERACTIONS, 2015, 9189 :496-505

[9] Visual Analytics Infrastructures: From Data Management to Exploration [J].

Fekete, Jean-Daniel .

COMPUTER, 2013, 46 (07) :22-29

[10] Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system [J].

Fernandez-Ares, A. ;

Mora, A. M. ;

Arenas, M. G. ;

Garcia-Sanchez, P. ;

Romero, G. ;

Rivas, V. ;

Castillo, P. A. ;

Merelo, J. J. .

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 76 :163-179

← 1 2 3 4 →